Consider the following contingency table of sample values. Column 1 Column 2 Column 3 Row 1 17 17 17 Row 2 34 18 16 How many degrees of freedom are there?
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Consider the following
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Column 1 |
Column 2 |
Column 3 |
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Row 1 |
17 |
17 |
17 |
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Row 2 |
34 |
18 |
16 |
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Column 1 |
Column 2 |
Column 3 |
|
Row 1 |
17 |
17 |
17 |
|
Row 2 |
34 |
18 |
16 |
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- 1. Sample data about the listing price of a house is collected from Surrey, Guilford area in 2022 and the data is given below. Using the data answer the following questions: N 1 2 3 4 5 Listing Price 1049900 11 1229000 1049900 12 1230000 1050000 13 1075000 14 1298999 1299000 1299000 1075000 15 16 1398000 1078800 1179000 17 18 1398000 1399000 1188000 1188000 19 1449900 1225000 20 1450000 a. What is the mean listing price of a home? b. Generate appropriate numerical summaries for the listing price of a home, the sample standard deviation, etc. 6 7 8 9 10 Listing Price N Listing Price 21 1450000 22 1450000 23 1469900 24 1475000 25 1475000 26 1480000 1499000 27 28 1499000 29 1499233 30 1499900 N C. Use these summaries to develop a 95% confidence interval to estimate the mean listing price of a house in your selected city. That is, you will be using the sampling data you collected to estimate the population parameter (listing price). Make sure to show both your calculations and a final…4. If you have sample sizes of 22 and 15, and the data is pooled, what is the degrees of freedom? Group of answer choices 37 14 21 35Eight students are selected randomly, and their present graduate GPA is compared to their undergraduate GPA and Scores on standardized tests. The data are shown below: Present 3.89 3.03 3.34 3.85 3.93 3.06 3.69 3.91 GPA Undergr 3.77 2.75 3.11 3.75 4 2.92 3.7 3.88 GPA Std. 700 460 550 690 720 420 670 670 Scores a. Write the regression equation, letting undergraduate GPA be x1 and standard scores be x2. X2. b. Is the model useful in calculating the present graduate GPA of a student? Use a = 0.05, State the null and alternative hypothesis. Provide the complete Regression Analysis.
- Here is a set of sample data 4 10 27 34 7 22 25 38 39 42 47 53 54 55 59 77 85 86 94 Identify the 5 number summary (min, Q1, median, Q3, max) 255 N3l5lcoA researcher wants to investigate whether the education level is related to his or her place of residence. Hundred's people were selected randomly. The results are given as follow. Area * Education Level Crosstabulation Education Level Bachelor's SPM Diploma Degree Total Area Urban Count 22 10 18 50 Expected Count 25.0 8.0 17.0 50.0 Rural Count 28 16 50 Expected Count 25.0 8.0 A 50.0 Total Count 50 16 34 100 Expected Count 50.0 16.0 34.0 100.0 Chi-Square Tests Value df Pearson Chi-Square в 2 Likelihood Ratio 1.850 2 Linear-by-Linear Association .778 1 N of Valid Cases a. O cells (0.0%) have expected count less than 5. The 100 minimum expected count is 8.00. a) State a reason of choosing the Chi-Square Test of Independence for this study. b) Calculate the values of A and B. c) At the 5% significance level, test whether education level is associated to his or her place of residence.This year’s water pollution readings at State Park Beach seem to be lower than last year. A sample of 30 readings was randomly selected from this year’s daily readings: 3.6 3.9 3.3 3.4 3.8 3.7 3.5 3.6 3.7 3.6 3.6 3.7 3.9 3.8 3.7 4.0 3.7 3.5 3.8 3.6 3.5 3.6 3.5 3.7 3.6 3.9 3.9 3.7 3.6 3.5 Researchers want to know if this is sufficient evidence to conclude that the mean of this year’s pollution readings is significantly lower than last year’s mean of 3.8. If the p-value is less than 0.0001, what is your decision (let α = 0.05) ? Retain Ho Reject Ho
- Suppose a random sample of 1012 athletes from the college are asked what their major is. The table below shows the results of the survey. Outcome Observed Frequency Math/Science 186 Arts & Humanities 233 Business & Economics 311 Other 282 The distribution of majors at the college is shown in the second column of the table below. Fill in the expected frequencies. (Round to the nearest whole number). Frequencies of Majors at the College Outcome Expected Percent Expected Frequency Math/Science 23 Arts & Humanities 18 Business & Economics 31 Other 28Suppose a random sample of 1227 Californians who own their own homes were surveyed. The table below shows the results of the survey Observed Frequencies of Political Affiliation from the Sample Outcome Observed Frequency Democrat 577 Republican Independent/Other 257 393 The second column of the table below shows the distribution of polítical affiliation for the entire population of California voters. Fill in the expected frequencies. Round to two decimal plkces, if necessary. Frequencies of Political Affiliation Expected Percent Outcome Expected Frequency Democrat 47 Republican 31 Independent/Other 225. A high school teacher wants to see if there is an effect on vocabulary recall between when students take a quiz before lunch and when they take it after lunch. She randomly selected 10 students and assessed them before lunch on Tuesday. On Wednesday she randomly selected 10 students and assessed them after lunch. The following were the percentage results Before lunch 62 60 68 64 72 75 63 60 64 80 After lunch 72 85 72 62 84 76 66 63 65 64 What type of samples were selected – independent or dependent (paired)? Explain. StatCrunch was used to analyze the data, and the output for both types of samples (independent and dependent) is given below. Using the appropriate output, determine if the mean quiz score is higher for those who take the quiz before lunch over those who take the quiz after lunch at a significance level of 0.05. Hypothesis test results: mean before lunch mean after lunch Hypothesis test results: : µi - µ2 : mean of the PAIRED difference µ2 : between Before and After…
- Sharon is interested in testing the differences between student populations at two different universities. If she randomly selects students from both universities, she is examining _____ sample(s). a. confounded b. independent c. single d. dependentSuppose a random sample of 800 athletes from the college are asked what their major is. The table below shows the results of the survey. Observed Frequencies of Majors from the Sample Observed Frequency Outcome Math/Science 256 Arts & Humanities 190 Business & Economics 153 Other 201 The distribution of majors at the college is shown in the second column of the table below. Fill in the expected frequencies. (Round to the nearest whole number). Frequencies of Majors at the College Expected Percent Outcome Expected Frequency Math/Science 18 Arts & Humanities 29 Business & Economics 25Suppose a random sample of 808 athletes from the college are asked what their major is. The table below shows the results of the survey. Observed Frequencies of Majors from the Sample Outcome Observed Frequency Math/Science 198 Arts & Humanities 215 Business & Economics 208 Other 187 The distribution of majors at the college is shown in the second column of the table below. Fill in the expected frequencies. (Round to the nearest whole number). Frequencies of Majors at the College Outcome Expected Percent Expected Frequency Math/Science 28 Arts & Humanities 32 Business & Economics 14 Other 26
